| 2026 | ICCSA | Intrinsic and Post-hoc Interpretability of Gaussian-Based Kolmogorov-Arnold Networks. | Pasquale De Luca, Emanuel Di Nardo, Emilio Garzia, Livia Marcellino, Angelo Ciaramella |
| 2025 | ICCS | First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological Model. | Attilio Di Vicino, Pasquale De Luca, Livia Marcellino |
| 2025 | IJCNN | Parallel Optimization of Quantized CNNs for Efficient GPU Inference. | Marco Lettiero, Pasquale De Luca |
| 2024 | PDP | Exploiting Julia for Parallel RBF-Based 3D Surface Reconstruction: A First Experience. | Pasquale De Luca, Ardelio Galletti, Livia Marcellino, Mario Pianese |
| 2022 | ICCS | A GPU-Based Algorithm for Environmental Data Filtering. | Pasquale De Luca, Ardelio Galletti, Livia Marcellino |
| 2022 | ICCSA | First Experiences on Parallelizing Peer Methods for Numerical Solution of a Vegetation Model. | Dajana Conte, Pasquale De Luca, Ardelio Galletti, Giulio Giunta, Livia Marcellino, Giovanni Pagano, Beatrice Paternoster |
| 2021 | ICCS | A GPU Algorithm for Outliers Detection in TESS Light Curves. | Stefano Fiscale, Pasquale De Luca, Laura Inno, Livia Marcellino, Ardelio Galletti, Alessandra Rotundi, Angelo Ciaramella, Giovanni Covone, Elisa Quintana |
| 2021 | IDC | On Next-Generation Sequencing Compression via Multi-GPU. | Pasquale De Luca, Annabella Di Mauro, Stefano Fiscale |
| 2020 | ICCS | Accelerated Gaussian Convolution in a Data Assimilation Scenario. | Pasquale De Luca, Ardelio Galletti, Giulio Giunta, Livia Marcellino |
| 2020 | ISPDC | Accelerated implementation of FQSqueezer novel genomic compression method. | Monica Amich, Pasquale De Luca, Stefano Fiscale |